Risk MetricsIntermediate📖 5 min read

Value at Risk (VaR)

The industry standard for loss potential.

Standard Confidence
95% or 99%
Criticism
Ignores tail magnitude

Value at Risk (VaR) asks the question: 'What is my worst-case loss over a specific time period with a specific confidence level?' For example, a 1-day 95% VaR of $1M means there is a 95% chance you won't lose more than $1M tomorrow (and a 5% chance you will).

Historical vs. Parametric VaR

Historical VaR uses past returns to simulate risk. Parametric VaR assumes a normal distribution. Since markets have fat tails, Parametric VaR often underestimates true crash risk.

Key Takeaways

1

Regulatory standard for banks.

2

Does not tell you *how much* you lose if the limit is breached.

3

Should be paired with stress testing.

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